Samsung Galaxy S20 FE 5G
Geekbench AI Score
761
Single Precision Score
1151
Half Precision Score
1055
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 23 2025 10:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G781B |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
597
111.1 IPS |
|
|
Image Classification (HP)
|
100% |
889
165.4 IPS |
|
|
Image Classification (Q)
|
99% |
819
152.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1319
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3735
4.36 IPS |
|
|
Pose Estimation (HP)
|
99% |
6499
7.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
6384
7.48 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
99% |
559
44.3 IPS |
|
|
Object Detection (Q)
|
85% |
533
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1987
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
1805
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1744
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2603
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2121
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4299
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
8639
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8673
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1260
46.7 IPS |
|
|
Text Classification (SP)
|
35% |
28
275.0 IPS |
|
|
Text Classification (HP)
|
35% |
42
382.1 IPS |
|
|
Text Classification (Q)
|
35% |
41
372.9 IPS |
|
|
Machine Translation (SP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (HP)
|
97% |
356
6.16 IPS |
|
|
Machine Translation (Q)
|
64% |
272
5.59 IPS |
